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Mobile Phones in the Cloud-Edge Continuum: Understanding the TEE’s Role

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Advanced Information Networking and Applications (AINA 2024)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 203))

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Abstract

Recent years have seen the cloud computing landscape shift from a centralized model, primarily based on large data centers, to a more distributed and heterogeneous architecture that incorporates edge and IoT units. This transition has given rise to the Cloud-Edge Continuum or Computing Continuum, effectively narrowing the gap between expansive data centers and end-user devices. This distributed computation requires the establishment of a chain of trust spanning from the cloud to the edge. A key enabling approach for building such trustworthy distributed infrastructure is exploiting Trusted Execution Environments.

It is common to equate edge devices with IoT devices, nevertheless, a big fraction of such category is represented by mobile phones which have unique characteristics in the TEE usage strongly influenced by commercial logic. This research aims to analyze TEE-supported features available for users and developers of legacy mobile phones, also identifying their constraints and limitations.

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Authors and Affiliations

  1. Scuola IMT Alti Studi Lucca, Piazza S. Ponziano, Lucca, Italy

    Alessandro De Crecchio

  2. Centro Direzionale Isola E2, University of Naples “Parthenope”, Naples, Italy

    Giovanni Maria Cristiano & Alfredo Petruolo

Authors
  1. Alessandro De Crecchio
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  2. Giovanni Maria Cristiano
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  3. Alfredo Petruolo
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Corresponding author

Correspondence to Alessandro De Crecchio .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

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De Crecchio, A., Cristiano, G.M., Petruolo, A. (2024). Mobile Phones in the Cloud-Edge Continuum: Understanding the TEE’s Role. In: Barolli, L. (eds) Advanced Information Networking and Applications. AINA 2024. Lecture Notes on Data Engineering and Communications Technologies, vol 203. Springer, Cham. https://doi.org/10.1007/978-3-031-57931-8_23

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